The huge amount of gathered data in a MOOC allows providing professors
and course managers with insightful information about real course usage
and consumption. The main aim of this work is to explore how efficient the
video viewing is for completing and passing the first course offered by
UCATx.cat platform, “Decoding Algebra”, in order to improve its design and
resources. The statistical method used is the principal component analysis but
using polychoric correlation matrix between the binary ...
The huge amount of gathered data in a MOOC allows providing professors
and course managers with insightful information about real course usage
and consumption. The main aim of this work is to explore how efficient the
video viewing is for completing and passing the first course offered by
UCATx.cat platform, “Decoding Algebra”, in order to improve its design and
resources. The statistical method used is the principal component analysis but
using polychoric correlation matrix between the binary variables involved in
each group. The main result suggests that the participants’ behavior is polarized
in two extremes: they view all videos and pass de course or, on the contrary,
they do not watch any one and they do not pass the test either. This information
can be used by course managers to provide learners with better strategies for
achieving their learning goals.
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